Artificial Intelligence for Computer Games - new book

Book in our database since 2009-12-02T22:31:48-05:00 (New York)
Detail page last modified on 2023-09-24T11:51:43-04:00 (New York)
ISBN/EAN: 1441981888

ISBN - alternate spelling:
1-4419-8188-8, 978-1-4419-8188-2
Alternate spelling and related search-keywords:
Book author: pedro martin, martin marco, pedro gonzalez calero, antonio marti, pedro antonio gonzález calero, marc antonio, robert anderson
Book title: artificial intelligence for games, computer art, game

Information from Publisher

Author: Pedro Antonio González-Calero; Marco Antonio Gómez-Martín
Title: Artificial Intelligence for Computer Games
Publisher: Springer; Springer US
200 Pages
Publishing year: 2011-03-01
New York; NY; US
Printed / Made in
Language: English
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XII, 200 p.

EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Adaptive game artificial intelligence; Affective interactive narrative; Dynamic behavior trees; Game artificial intelligence; Game console processors; Interactive drama; Interactive environments; Virtual data mining; Virtual humans; B; Computational Intelligence; Artificial Intelligence; Mathematical and Computational Engineering; Computational Intelligence; Artificial Intelligence; Mathematical and Computational Engineering Applications; Engineering; Mathematik für Ingenieure; BB

The book presents some of the most relevant results from academia in the area of Artificial Intelligence for games. It emphasizes well theoretically supported work supported by developed prototypes, which should lead into integration of

academic AI techniques into current electronic entertainment games.

The book elaborates on the main results produced in Academia within the last 10 years regarding all aspects of Artificial Intelligence for games, including pathfinding, decision making, and learning. A general theme of the book is the

coverage of techniques for facilitating the construction of flexible not prescripted AI for agents in games.

Regarding pathfinding, the book includes new techniques for implementing real-time search methods that improve the results obtained through AI, as well as techniques for learning pathfinding behavior by observing actual players.

Regarding decision making, the book describes new techniques for authoring tools that facilitate the construction by game designers (typically nonprogrammers) of behavior controlling software, by reusing patterns or actual

cases of past behavior. Additionally, the book will cover a number of approaches proposed for extending the essentially pre-scripted nature of current commercial videogames AI into a more interactive form of narrative, where the story emerges from the interaction with the player. Some of those approaches

rely on a layered architecture for the character AI, including beliefs, intentions and emotions, taking ideas from research on agent systems.

The book also includes chapters on techniques for automatically or semiautomatically learning complex behavior from recorded traces of human or automatic players using different combinations of reinforcement learning, case-based reasoning, neural networks and genetic algorithms.

Visual Data Mining of Player Traces in Interactive Environments.- Heuristic search methods for pathfinding.- Pattern-based AI Scripting.- Case-Based Reasoning and User-Generated Gameplay.- Knowledge acquisition for adaptive

game AI.- Game AI as Storytelling.- Affective Interactive Narrative.- Virtual Humans.- Interactive Drama.- Dynamic Behaviour Trees.

Techniques used for Artificial Intelligence (AI) in commercial video games are still far from state-of-the art in Academia, but with graphics in video games coming close to photo realistic quality, and multi-processor architectures getting common in console and PC game platforms, sophisticated AI is getting into the focus of the video game industry as the next big thing for enhancing the player experience. "Artificial Intelligence for Games" collects some of the most relevant results from Academia in the area of Artificial Intelligence for games. The selection of contributions has been biased towards rigorous and theoretically grounded work that is also supported with developed prototypes, which should pave the way for the integration of academic AI techniques into state-of-the-art electronic entertainment games. The chapters in the book cover different areas relevant to AI in commercial games:

Translates the last decades of research into practical ideas to enhance the computer game experience;

Presents approaches for evolving interaction beyond the pre-scripted narratives normally encountered;

Integrates research into reinforced learning, case-based reasoning and genetic algorithms into game development

Includes supplementary material: sn.pub/extras